Software Engineer III-Java Kafka AWS

JP Morgan Chase; Bengaluru; On-site; INR 1,200,000 - 2,200,000; Full time

Job summary

JPMorgan Chase in Bengaluru is seeking a Software Engineer III to join the Commercial & Investment Bank Payments Technology team. You will contribute as an experienced member of an agile team, designing reliable, scalable, and secure software solutions.

Responsibilities include implementing production-grade code, working with Java, RESTful APIs, messaging systems, and cloud technologies, while leveraging AI-assisted development tools to improve quality and speed.

Qualifications

• Formal training or certification in software engineering with practical experience.
• Experience in system design, development, testing and operations.
• Proficient in Java, RESTful APIs, and database queries.

Responsibilities

• Executes software solutions, design, development, and troubleshooting.
• Produces high-quality, secure production code and scalable architectures.
• Uses AI coding assist tools to improve quality and speed with peer review.
• Applies SDLC and cloud deployment practices in a large org.
• Gathers data insights to drive improvements in code and system design.
• Ensures security and resiliency in all development activities.

Skills

Java development

Messaging systems

RESTful APIs

RDBMS

Cloud technologies

Software design principles

Education

Software engineering education

Tools

ActiveMQ

Kafka

Cloud platforms

Job description

Job Description:

We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.

As a Software Engineer III at JPMorgan Chase within the Commercial & Investment Bank Payments Technology team, you will be an experienced member of an agile team, tasked with designing and delivering reliable, market-leading technology products that are secure, stable, and scalable.

Job responsibilities

• Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or breakdown technical problems
• Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems
• Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity across complex deliverables (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards; contributes learnings and reusable patterns to improve broader team effectiveness.
• Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation.
• Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development
• Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems
• Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 3+ years applied experience
• Hands-on practical experience in system design, application development, testing, and operational stability
• Hands-on expertise in Java development, messaging systems (ActiveMQ, Kafka), RESTful APIs, software design principles, relational database management systems (RDBMS) and cloud technologies
• Design, develop (Rewrite and Re-Arch) and maintain scalable, high-performance applications, ensuring robust integration and deployment in cloud environments
• Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages
• Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, test creation, troubleshooting, or documentation) with demonstrated ability to critically evaluate, validate, and refine AI-generated outputs for correctness, performance, and security.
• Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; ability to guide peers on safe and effective usage within team practices.
• Overall knowledge of the Software Development Life Cycle
• Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security

Preferred qualifications, capabilities, and skills

• Familiarity with modern front-end technologies
• Exposure to cloud technologies